Ampcus inc

Kubernetes Engineer Lead

Ampcus inc$125K — $150K *
Miami, FL 33186In-Person
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in Platform Engineering, DevOps, Site Reliability Engineering, or Cloud Engineering.
  • Extensive experience with enterprise production Kubernetes environments.
  • Experience with supporting mission-critical, highly available platforms.
  • Strong background in automation and Infrastructure as Code.

Responsibilities

  • Design and manage enterprise Kubernetes platforms.
  • Administer EKS Anywhere for complete cluster lifecycle.
  • Implement GitOps using ArgoCD and Helm.
  • Build platform automation and self-service capabilities.
  • Develop Infrastructure as Code with Terraform.
  • Implement monitoring, logging, and distributed tracing.
  • Manage Kubernetes security and policy enforcement.

Benefits

  • Remote work options available.
  • Opportunities for professional development and certification.
  • Supportive work culture centered on innovation and collaboration.
Full Job Description
Job Title: Kubernetes Engineer Lead

Location(s): Miami, FL
(Remote)

Experience Required
  • 8+ years in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or Cloud Engineering
  • Extensive experience managing enterprise production Kubernetes environments
  • Experience supporting mission-critical, highly available platforms
  • Strong automation and Infrastructure as Code (IaC) background

Primary Responsibilities
  • Design, build, and manage enterprise Kubernetes platforms
  • Administer EKS Anywhere throughout the complete cluster lifecycle
  • Implement GitOps using ArgoCD and Helm
  • Build platform automation and self-service capabilities
  • Develop Infrastructure as Code using Terraform
  • Implement monitoring, logging, and distributed tracing
  • Manage Kubernetes security, secrets, and policy enforcement
  • Support AWS cloud infrastructure modernization
  • Improve platform reliability, scalability, and operational excellence
  • Develop AI-assisted operational automation tools

Mandatory Technical Skills

Kubernetes Platform
  • Kubernetes
  • Amazon EKS
  • EKS Anywhere
  • Cluster API (CAPI)
  • eksctl-anywhere
  • Bootstrap Cluster
  • Management Cluster
  • Workload Cluster
  • Cluster lifecycle management
  • Node replacement
  • Worker node scaling
  • Cluster troubleshooting

Networking & Storage
  • kube-vip
  • HAProxy
  • LoadBalancer Services
  • StorageClass
  • Persistent Volumes (PV)
  • Persistent Volume Claims (PVC)

GitOps & Deployment
  • ArgoCD
  • GitOps
  • Helm
  • ApplicationSets
  • App of Apps Pattern
  • Sync Policies
  • Cluster Generator
  • Matrix Generator
  • Repository Management

Infrastructure Automation
  • Terraform
  • Infrastructure as Code (IaC)
  • AWS Cloud
  • CI/CD Pipelines

Programming
  • Go
  • Python
  • Bash

Operating Systems
  • Linux Administration

Observability
  • OpenTelemetry
  • Datadog
  • Splunk
  • Prometheus

Security
  • HashiCorp Vault
  • Vault Integration
  • Sealed Secrets
  • Trust Manager
  • Image Security
  • Policy Enforcement

Rafay Platform
  • Organization Administration
  • Cluster Blueprints
  • Fleet Management
  • Environment Manager
  • Multi-Cluster Management
  • Namespace Management
  • Blueprint Versioning
  • Policy Management

Harness
  • Projects
  • Organizations
  • Connectors
  • Secrets
  • Environments
  • Infrastructure Definitions
  • Services
  • Templates
  • Repository Management
  • Cluster Integration

Preferred Skills
  • Kubernetes Operators and Controllers development
  • Event-driven automation
  • Serverless technologies
  • AI-assisted operations
  • Platform engineering best practices
  • Capacity planning
  • Root Cause Analysis (RCA)
  • Incident Management
  • Performance tuning
  • Enterprise governance

Nice-to-Have
  • Multi-account AWS architecture
  • Internal developer platforms
  • Self-service platform engineering
  • Cloud-native architecture
  • Platform modernization initiatives

Ideal Candidate Profile
The ideal candidate is a senior Platform Engineer or Site Reliability Engineer with deep expertise in Kubernetes, EKS Anywhere, AWS, Terraform, ArgoCD, Helm, HashiCorp Vault, and enterprise platform automation. Experience with Rafay and Harness is highly desirable, along with strong knowledge of GitOps, observability, Linux administration, and cloud-native engineering. Candidates who have built internal developer platforms, automated Kubernetes operations, and managed large-scale production clusters will be the strongest fit.

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